211 lines
5.4 KiB
C++
211 lines
5.4 KiB
C++
/*
|
|
* Legal Notice
|
|
*
|
|
* This document and associated source code (the "Work") is a part of a
|
|
* benchmark specification maintained by the TPC.
|
|
*
|
|
* The TPC reserves all right, title, and interest to the Work as provided
|
|
* under U.S. and international laws, including without limitation all patent
|
|
* and trademark rights therein.
|
|
*
|
|
* No Warranty
|
|
*
|
|
* 1.1 TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, THE INFORMATION
|
|
* CONTAINED HEREIN IS PROVIDED "AS IS" AND WITH ALL FAULTS, AND THE
|
|
* AUTHORS AND DEVELOPERS OF THE WORK HEREBY DISCLAIM ALL OTHER
|
|
* WARRANTIES AND CONDITIONS, EITHER EXPRESS, IMPLIED OR STATUTORY,
|
|
* INCLUDING, BUT NOT LIMITED TO, ANY (IF ANY) IMPLIED WARRANTIES,
|
|
* DUTIES OR CONDITIONS OF MERCHANTABILITY, OF FITNESS FOR A PARTICULAR
|
|
* PURPOSE, OF ACCURACY OR COMPLETENESS OF RESPONSES, OF RESULTS, OF
|
|
* WORKMANLIKE EFFORT, OF LACK OF VIRUSES, AND OF LACK OF NEGLIGENCE.
|
|
* ALSO, THERE IS NO WARRANTY OR CONDITION OF TITLE, QUIET ENJOYMENT,
|
|
* QUIET POSSESSION, CORRESPONDENCE TO DESCRIPTION OR NON-INFRINGEMENT
|
|
* WITH REGARD TO THE WORK.
|
|
* 1.2 IN NO EVENT WILL ANY AUTHOR OR DEVELOPER OF THE WORK BE LIABLE TO
|
|
* ANY OTHER PARTY FOR ANY DAMAGES, INCLUDING BUT NOT LIMITED TO THE
|
|
* COST OF PROCURING SUBSTITUTE GOODS OR SERVICES, LOST PROFITS, LOSS
|
|
* OF USE, LOSS OF DATA, OR ANY INCIDENTAL, CONSEQUENTIAL, DIRECT,
|
|
* INDIRECT, OR SPECIAL DAMAGES WHETHER UNDER CONTRACT, TORT, WARRANTY,
|
|
* OR OTHERWISE, ARISING IN ANY WAY OUT OF THIS OR ANY OTHER AGREEMENT
|
|
* RELATING TO THE WORK, WHETHER OR NOT SUCH AUTHOR OR DEVELOPER HAD
|
|
* ADVANCE NOTICE OF THE POSSIBILITY OF SUCH DAMAGES.
|
|
*
|
|
* Contributors:
|
|
* Gradient Systems
|
|
*/
|
|
#include "config.h"
|
|
#include "porting.h"
|
|
#include "init.h"
|
|
#include <stdio.h>
|
|
#include "r_params.h"
|
|
#include "scaling.h"
|
|
#include "tdefs.h"
|
|
#include "genrand.h"
|
|
|
|
/*
|
|
* Routine: split_work(int tnum, worker_t *w)
|
|
* Purpose: allocate work between processes and threads
|
|
* Algorithm:
|
|
* Data Structures:
|
|
*
|
|
* Params:
|
|
* Returns:
|
|
* Called By:
|
|
* Calls:
|
|
* Assumptions:
|
|
* Side Effects:
|
|
* TODO: None
|
|
*/
|
|
int split_work(int tnum, ds_key_t *pkFirstRow, ds_key_t *pkRowCount) {
|
|
ds_key_t kTotalRows, kRowsetSize, kExtraRows;
|
|
int nParallel, nChild;
|
|
|
|
kTotalRows = get_rowcount(tnum);
|
|
nParallel = get_int("PARALLEL");
|
|
nChild = get_int("CHILD");
|
|
|
|
/*
|
|
* 1. small tables aren't paralelized
|
|
* 2. nothing is parallelized unless a command line arg is supplied
|
|
*/
|
|
*pkFirstRow = 1;
|
|
*pkRowCount = kTotalRows;
|
|
|
|
if (kTotalRows < 1000000) {
|
|
if (nChild > 1) /* small table; only build it once */
|
|
{
|
|
*pkFirstRow = 1;
|
|
*pkRowCount = 0;
|
|
return (0);
|
|
}
|
|
return (1);
|
|
}
|
|
|
|
if (!is_set("PARALLEL")) {
|
|
return (1);
|
|
}
|
|
|
|
/*
|
|
* at this point, do the calculation to set the rowcount for this part of a
|
|
* parallel build
|
|
*/
|
|
kExtraRows = kTotalRows % nParallel;
|
|
kRowsetSize = (kTotalRows - kExtraRows) / nParallel;
|
|
|
|
/* start the starting row id */
|
|
*pkFirstRow += (nChild - 1) * kRowsetSize;
|
|
if (kExtraRows && (nChild - 1))
|
|
*pkFirstRow += ((nChild - 1) < kExtraRows) ? (nChild - 1) : kExtraRows;
|
|
|
|
/* set the rowcount for this child */
|
|
*pkRowCount = kRowsetSize;
|
|
if (kExtraRows && (nChild <= kExtraRows))
|
|
*pkRowCount += 1;
|
|
|
|
return (1);
|
|
}
|
|
|
|
/*
|
|
* Routine:
|
|
* Purpose:
|
|
* Algorithm:
|
|
* Data Structures:
|
|
*
|
|
* Params:
|
|
* Returns:
|
|
* Called By:
|
|
* Calls:
|
|
* Assumptions:
|
|
* Side Effects:
|
|
* TODO: None
|
|
*/
|
|
int checkSeeds(tdef *pTdef) {
|
|
int i, res, nReturnCode = 0;
|
|
static int bSetSeeds = 0;
|
|
|
|
if (!InitConstants::checkSeeds_init) {
|
|
bSetSeeds = is_set("CHKSEEDS");
|
|
InitConstants::checkSeeds_init = 1;
|
|
}
|
|
|
|
for (i = pTdef->nFirstColumn; i <= pTdef->nLastColumn; i++) {
|
|
while (Streams[i].nUsed < Streams[i].nUsedPerRow)
|
|
genrand_integer(&res, DIST_UNIFORM, 1, 100, 0, i);
|
|
if (bSetSeeds) {
|
|
if (Streams[i].nUsed > Streams[i].nUsedPerRow) {
|
|
fprintf(stderr, "Seed overrun on column %d. Used: %d\n", i, Streams[i].nUsed);
|
|
Streams[i].nUsedPerRow = Streams[i].nUsed;
|
|
nReturnCode = 1;
|
|
}
|
|
}
|
|
Streams[i].nUsed = 0; /* reset for the next time */
|
|
}
|
|
|
|
return (nReturnCode);
|
|
}
|
|
|
|
/*
|
|
* Routine:
|
|
* Purpose:
|
|
* Algorithm:
|
|
* Data Structures:
|
|
*
|
|
* Params:
|
|
* Returns:
|
|
* Called By:
|
|
* Calls:
|
|
* Assumptions:
|
|
* Side Effects:
|
|
* TODO: None
|
|
*/
|
|
int row_stop(int tbl) {
|
|
tdef *pTdef;
|
|
|
|
pTdef = getSimpleTdefsByNumber(tbl);
|
|
checkSeeds(pTdef);
|
|
if (pTdef->flags & FL_PARENT) {
|
|
pTdef = getSimpleTdefsByNumber(pTdef->nParam);
|
|
checkSeeds(pTdef);
|
|
if (pTdef->flags & FL_PARENT) {
|
|
pTdef = getSimpleTdefsByNumber(pTdef->nParam);
|
|
checkSeeds(pTdef);
|
|
}
|
|
}
|
|
|
|
return (0);
|
|
}
|
|
|
|
/*
|
|
* Routine: row_skip
|
|
* Purpose: skip over un-used rows in a table
|
|
* Algorithm:
|
|
* Data Structures:
|
|
*
|
|
* Params:
|
|
* Returns:
|
|
* Called By:
|
|
* Calls:
|
|
* Assumptions:
|
|
* Side Effects:
|
|
* TODO: 20020816 jms The second parameter should really be a ds_key_t to allow
|
|
* BIG skips
|
|
*/
|
|
int row_skip(int tbl, ds_key_t count) {
|
|
int i;
|
|
|
|
for (i = 0; Streams[i].nColumn != -1; i++) {
|
|
if (Streams[i].nTable == tbl) {
|
|
skip_random(i, count * Streams[i].nUsedPerRow);
|
|
Streams[i].nUsed = 0;
|
|
Streams[i].nTotal = count * Streams[i].nUsedPerRow;
|
|
}
|
|
if (Streams[i].nDuplicateOf && (Streams[i].nDuplicateOf != i)) {
|
|
skip_random(Streams[i].nDuplicateOf, count * Streams[Streams[i].nDuplicateOf].nUsedPerRow);
|
|
Streams[Streams[i].nDuplicateOf].nUsed = 0;
|
|
Streams[Streams[i].nDuplicateOf].nTotal = count * Streams[i].nUsedPerRow;
|
|
}
|
|
}
|
|
|
|
return (0);
|
|
}
|